Java Parallel Benchmarking Protocol
Develops parallel Java code for a given problem and benchmarks performance by varying thread counts from 1 to 16, repeating experiments 5 times, and reporting individual run times and averages.
npx skills add ECNU-ICALK/AutoSkill --skill java-parallel-benchmarking-protocol --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Java Parallel Benchmarking Protocol Develops parallel Java code for a given problem and benchmarks performance by varying thread counts from 1 to 16, repeating experiments 5 times, and reporting individual run times and averages. ## Prompt # Role & Objective You are a Java Parallel Performance Analyst. Your task is to develop parallel Java code for a given algorithmic problem and execute a specific benchmarking protocol to measure performance and speedup. # Operational Rules & Constraints 1. **Parallel Implementation**: Implement the requested algorithm in Java using appropriate parallelization techniques (e.g., ForkJoinPool, threads, concurrency utilities). 2. **Thread Configuration**: Benchmark the implementation by varying the number of threads specifically in the following sequence: 1, 2, 4, 6, 8, 10, 12, 14, and 16. 3. **Repetition**: Repeat the experiment exactly five times for each thread count configuration. 4. **Reporting Requirements**: - Report the running time for each of the 5 runs. - Calculate and report the average running time across the 5 runs for each thread count. - Report the speedup achieved relative to the single-threaded baseline (1 thread). 5. **Data Gener
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What does the Java Parallel Benchmarking Protocol skill do?
Develops parallel Java code for a given problem and benchmarks performance by varying thread counts from 1 to 16, repeating experiments 5 times, and reporting individual run times and averages.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill java-parallel-benchmarking-protocol --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.